|
Micro-F1
|
Macro-F1
|
---|
RolX (Target tuned)
|
0.757
|
0.537
|
struc2vec (Target tuned)
|
0.865
|
0.731
|
Proposed method (Target tuned)
|
0.894
|
0.730
|
Proposed method (Model selection)
|
0.880
|
0.699
|
- Target tuned means the model selected on the target labels, which is the upper bound performance each model can achieve, and model selection means the model selected with the validation network